SAFEE: A Debriefing Tool to Identify Latent Conditions in Simulation-based Hospital Design Testing

被引:15
|
作者
Colman N. [1 ]
Dalpiaz A. [2 ]
Walter S. [3 ]
Chambers M.S. [4 ]
Hebbar K.B. [1 ]
机构
[1] Department of Pediatrics, Division of Pediatric Critical Care, Children’s Healthcare of Atlanta, 1405 Clifton Road NE, Division of Critical Care, Atlanta, 30329, GA
[2] Department of Pediatrics, Children’s Healthcare of Atlanta, 1575 Northeast Expressway, Atlanta, 30329, GA
[3] EYP Architecture and Engineering, 100 Peachtree St NW, Atlanta, 30303, GA
[4] ESa (Earl Swensson Associates), 1033 Demonbreun St., Suite #800, Nashville, 37203, TN
关键词
Built environment; Debriefing; Healthcare design; Latent conditions; Simulation;
D O I
10.1186/s41077-020-00132-2
中图分类号
学科分类号
摘要
In the process of hospital planning and design, the ability to mitigate risk is imperative and practical as design decisions made early can lead to unintended downstream effects that may lead to patient harm. Simulation has been applied as a strategy to identify system gaps and safety threats with the goal to mitigate risk and improve patient outcomes. Early in the pre-construction phase of design development for a new free-standing children’s hospital, Simulation-based Hospital Design Testing (SbHDT) was conducted in a full-scale mock-up. This allowed healthcare teams and architects to actively witness care providing an avenue to study the interaction of humans with their environment, enabling effectively identification of latent conditions that may lay dormant in proposed design features. In order to successfully identify latent conditions in the physical environment and understand the impact of those latent conditions, a specific debriefing framework focused on the built environment was developed and implemented. This article provides a rationale for an approach to debriefing that specifically focuses on the built environment and describes SAFEE, a debriefing guide for simulationists looking to conduct SbHDT. © 2020, The Author(s).
引用
收藏
相关论文
共 50 条
  • [31] Application of Simulation-based Software Design Solution
    Aksyonov, Konstantin
    Bykov, Eugene
    Aksyonova, Olga
    Kai, Wang
    26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC), 2014, : 2825 - 2830
  • [32] Needs assessment to identify content for simulation-based curricula in emergency medicine
    Nayahangan, Leizl Joy
    Konge, Lars
    CANADIAN JOURNAL OF EMERGENCY MEDICINE, 2019, 21 (06)
  • [33] Best Practice Recommendations for Debriefing in Simulation-Based Education for Australian Undergraduate Nursing Students: An Integrative Review
    Hall, Karen
    Tori, Kathleen
    CLINICAL SIMULATION IN NURSING, 2017, 13 (01) : 39 - 50
  • [34] A computer-aided system for an optimal moulding conditions design using a simulation-based approach
    Lam, YC
    Britton, GA
    Deng, YM
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2003, 22 (7-8) : 574 - 586
  • [35] A Simulation-Based Planning Tool for Floating Storage and Regasification Units
    Papaleonidas, Christos
    Androulakis, Emmanouil
    Lyridis, Dimitrios V.
    LOGISTICS-BASEL, 2020, 4 (04):
  • [36] Changes of collective orientation through a medical student’s anaesthesia simulation course – simulation-based training study with non-technical skills debriefing versus medical debriefing
    Hendrik Eismann
    Thomas Palmaers
    Svetlozar Tsvetanov
    Vera Hagemann
    Markus Flentje
    BMC Medical Education, 19
  • [37] Changes of collective orientation through a medical student's anaesthesia simulation course - simulation-based training study with non-technical skills debriefing versus medical debriefing
    Eismann, Hendrik
    Palmaers, Thomas
    Tsvetanov, Svetlozar
    Hagemann, Vera
    Flentje, Markus
    BMC MEDICAL EDUCATION, 2019, 19 (01) : 337
  • [38] A generic and flexible simulation-based analysis tool for EMS management
    Kergosien, Y.
    Belanger, V.
    Soriano, P.
    Gendreau, M.
    Ruiz, A.
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2015, 53 (24) : 7299 - 7316
  • [39] A computer-aided system for an optimal moulding conditions design using a simulation-based approach
    Y. C. Lam
    G. A. Britton
    Y.-M. Deng
    The International Journal of Advanced Manufacturing Technology, 2003, 22 : 574 - 586
  • [40] Simulation-based operations testing in new neonatal healthcare environments
    Dadiz, Rita
    Bender, Jesse
    Robin, Beverley
    SEMINARS IN PERINATOLOGY, 2023, 47 (07)